Utilizing RAG Patterns and Vector Search in Generative AI Applications

Agenda:
6:00 PM - 7:30 PM - [In-persion/Online] Utilizing RAG Patterns and Vector Search in Generative AI Applications

Abstract:
This presentation explores the integration of Retrieval-Augmented Generation (RAG) patterns and vector search in Generative AI, emphasizing a real-world C# application with a semantic kernel. RAG patterns, merging neural networks with data retrieval, enhance AI’s content generation capabilities, leveraging extensive external information for more contextually accurate outputs.

The focus then shifts to a practical C# application using a semantic kernel, demonstrating how vector search efficiently handles large datasets. This case study illustrates the practical application of RAG and vector search in familiar programming environments, showcasing their potential to elevate Generative AI's creativity and efficiency.